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Reproduction: Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
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Srishti Saha
Srishti280992
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upvoted an article about 2 months ago
What We Learned by Reproducing 2,200 papers from ICML updated a Space 2 months ago
Srishti280992/repro-deep-networks-learn-to-parse-uniform-depth-context-free-languages-from-local-statisticsOrganizations
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Reproduction: Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
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Reproduction: Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors
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Reproduction: Calibrated Preference Learning: The Case of Label Ranking
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Reproduction: The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
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Reproduction: Amortized Variational Inference for Partial-Label Learning
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Reproduction: Two-Layer Linear Auto-Regressive Models Estimate Latent States
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Reproduction: Any-dimensional invariant universality
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Reproduction: Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite L_p Moments
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Reproduction: Magnitude Distance: A Geometric Measure of Dataset Similarity
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Reproduction: On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
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Reproduction: SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
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Reproduction: Geometric Entropy and Retrieval Phase Transitions in Continuous Thermal Dense Associative Memory
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Reproduction: Understanding Behavior Cloning with Action Quantization
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Reproduction: A Perturbation Approach to Unconstrained Linear Bandits
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Reproduction: Learning-Augmented Online Minimization with Dual Predictions
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Reproduction: On the Computational Complexity of Performative Prediction
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Reproduction: Formalizing and Falsifying Causal Pathways of Rare Events
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Reproduction: Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
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Reproduction: MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification
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Reproduction: Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
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Reproduction: Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
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Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization
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Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
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